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аналитика - Edge-Cloud Computing
Optimal Task Allocation and Price of Anarchy in Distributed Computing Networks with Heterogeneous Latency
The optimal allocation of computing tasks in a distributed network with heterogeneous server locations and latencies cannot be neglected, as it significantly impacts the overall system performance. The price of anarchy, which measures the efficiency loss of a distributed (selfish) solution compared to the optimal centralized allocation, exhibits important practical properties that depend on the network characteristics.
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
COSTREAM is a novel learned cost model that accurately predicts the execution costs of streaming queries in edge-cloud environments, enabling optimal operator placement.
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